Instructions to use boronbrown48/topic_otherTopics_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use boronbrown48/topic_otherTopics_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="boronbrown48/topic_otherTopics_v2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("boronbrown48/topic_otherTopics_v2") model = AutoModelForSequenceClassification.from_pretrained("boronbrown48/topic_otherTopics_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
c888113
1
Parent(s): 7c67081
Create eval.txt
Browse files
eval.txt
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{'epoch': 10.0,
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'eval_accuracy': 0.9334719334719335,
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'eval_f1-macro': 0.9287405475916706,
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'eval_loss': 0.44022735953330994,
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'eval_precision': 0.9330591141116825,
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'eval_recall': 0.9251257515420334,
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'eval_runtime': 2.0805,
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'eval_samples_per_second': 462.386,
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'eval_steps_per_second': 58.159}
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